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Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. Joining the Analog ASIC group means more than designing components – it’s your chance to shape and influence the entire system through system-level innovation and end-to-end ownership, from specification to real-world implementation. Our Analog ASIC group leads chip development at the core of SolarEdge products. We collaborate closely with system, software, and hardware teams to ensure complete optimization across the entire process. We are seeking a passionate, Analog Engineer to join our team. In this role, you will be responsible for designing and developing complex analog and mixed-signal ICs for SolarEdge’s cutting-edge products in the renewable energy sector. What will you be doing:
* Architecture planning using behavioral models for simulation of analog and mixed-signal circuits.
* Design, implement and verify circuits & systems to meet product requirements including schematic entry, simulation, layout and supervision.
* Verification of analog and mixed-signal sub-systems and the entire design using transistor-level.
* Validation of design by laboratory measurement.
* Support product engineering to meet manufacturing and production needs.

Country:
Israel

City:
Herzliya

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Key Responsibilities

Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Help establish ROI models and best practices for new AI-driven processes across the company.

We are looking for an ambitious, highly capable Full-Stack Software Engineer who leverages cutting-edge AI tools to multiply their productivity and own cloud features completely end-to-end, from initial design and architecture down to deployment, testing, and production support.

Were looking for cutting edge smart & capable engineers who can harness AI and can lead sophisticated projects from the requirement and design phases down to implementation, test and production delivery.

Key Responsibilities

End-to-End Feature Ownership: Own cloud features complete end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support.
AI-Accelerated Development: Efficiently utilize advanced AI coding assistants and AI-driven workflows (e.g., Claude Code, Cursor, LLM-driven test generation) to design, code, debug, and deliver robust software at high velocity.
Frontend & Backend Engineering: Build and maintain scalable APIs and responsive, intuitive user interfaces (React, Go / Node.js).
Database & Infrastructure: Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance.
Quality & Automated Testing: Design, write, and execute comprehensive test suites (unit, integration, and E2E) to keep software stable and functional.
Production Support & Reliability: Participate in monitoring, troubleshooting, and supporting your delivered features in cloud environments.
Product & UX Collaboration: Work closely with Product and UX teams to rapidly turn concepts into seamless, user-friendly customer experiences.

We are looking for a highly skilled and detail-oriented Mobile Device Security QA Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and scaling comprehensive quality assurance strategies for our cutting-edge security product for iOS and Android mobile devices. You will drive both automated and physical testing efforts to ensure our platform meets the highest standards of security, performance, and reliability.

Responsibilities:
Performance & Usability Testing: Use relevant tools and frameworks to assess performance (e.g., loading times) and provide feedback on UI/UX issues for improved user experience.
Physical & Manual Testing: Conduct and oversee hands-on physical testing of mobile devices, ensuring that manual and automated tests accurately validate qualification features.
Test Strategy & Planning: Develop comprehensive test plans, test cases, and tailored test scripts for Android and iOS systems and applications.
Automation Development: Design and implement scalable, automated testing frameworks to simulate real-world scenarios across diverse mobile devices. Create automated scripts for regression, smoke, and feature testing.
CI/CD Integration: Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines to support rapid, reliable releases. Monitor builds, troubleshoot integration issues, and optimize test suites.
Documentation & Reporting: Maintain detailed documentation of testing processes, results, and improvement recommendations.

Required rt SW Developer

We are seeking talented individuals that are eager to use all their skills and competencies to quickly deploy our ground-breaking robotic assisted surgical therapies to patients, surgeons and hospitals in several countries in Europe, the Middle East and Africa (EMEA).
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system. The main activities of a start-up specialist include:

Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.

Develop a surgeon training plan, coordinate attendance at Medtronics off-site training and arrange for proctored cases post-training as needed.

Develop a training plan to support staff to include attendance at a Medtronic off-site training class and support staff through their learning curve.

Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.

Utilize change management techniques to engage clinical stakeholders and attain buy-in.

Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.

Cooperate with Medtronic field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With our Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.

Responsibilities may include the following and other duties may be assigned:
Designing and executing SW verification activities: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Automation and continuous improvement: Contribute to the development and expansion of automated testing solutions. Continuously look for ways to improve test efficiency, coverage, and reliability by adopting new tools, scripting approaches, and creative testing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Our Surgical Operating Unit is one new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.

We are seeking a highly qualified and detail-oriented Software Verification Engineer to join our software verification team. This position involves verification and integration of complex, multidisciplinary medical systems. The role requires direct collaboration with cross-functional teams, including software, algorithm, and hardware engineering, to ensure the system meets all functional and performance requirements.
Responsibilities may include the following and other duties may be assigned:
Technical leadership: Serve as a technical leader within the verification team, providing guidance, reviewing test approaches and deliverables, and mentoring less-experienced engineers.
Independence: Demonstrated ability to independently lead complex verification initiatives, make sound technical decisions, and drive issues to resolution.
Designing and executing SW testing strategies: Proactively identify gaps in performance, accuracy, and quality across the software and algorithmic components of the system. Develop and prioritize test strategies based on risk, impact, and business needs. Create comprehensive test plans to validate functionality, accuracy, and performance.
Continuous improvement of testing processes: Identify process improvement opportunities by implementing new tools and optimizing methods.
Performing script-based testing: Develop and maintain test scripts to automate and enhance testing processes using Python, MATLAB, or other tools.
Collaborating with cross-functional teams: Work closely with cross-functional teams, including software, algorithm, hardware engineering, quality, and regulatory, to ensure successful testing outcomes.

We are seeking talented individuals that are eager to use all their skills and competencies to quickly deploy our ground-breaking robotic assisted surgical therapies to patients, surgeons and hospitals in several countries in Europe, the Middle East and Africa (EMEA).
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system. The main activities of a start-up specialist include:
Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.
Develop a surgeon training plan, coordinate attendance at Medtronics off-site training and arrange for proctored cases post-training as needed.
Develop a training plan to support staff to include attendance at a Medtronic off-site training class and support staff through their learning curve.
Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.
Utilize change management techniques to engage clinical stakeholders and attain buy-in.
Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.
Cooperate with Medtronic field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.

We are seeking talented individuals that are eager to use all their skills and competencies to quickly deploy our ground-breaking robotic assisted surgical therapies to patients, surgeons and hospitals in several countries in Europe, the Middle East and Africa (EMEA).
Responsibilities may include the following and other duties may be assigned:
As a start-up specialist you will be responsible for the successful integration of our HUGO RAS-system into a hospital. This might be an expansion of a current robotic surgery program, the creation of a new robotic surgery program or a shift from another platform to our HUGO RAS-system.
The main activities of a start-up specialist include:
Meet with the robotic program stakeholders and develop program goals and metrics for HUGO RAS-system. Conduct regular program review meetings to remain on-track.
Develop a surgeon training plan, coordinate attendance at Medtronics off-site training and arrange for proctored cases post-training as needed.
Develop a training plan to support staff to include attendance at a Medtronic off-site training class and support staff through their learning curve.
Support the technology adoption by attending to cases during a surgeon and staff members learning sessions.
Utilize change management techniques to engage clinical stakeholders and attain buy-in.
Coach hospitals staff to promote skill transfer and achieve self-sufficiency in operational excellence.
Cooperate with Medtronic field service engineer (FSE) and the hospital staff to prepare the operating room to host the HUGO RAS-system.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.


Responsibilities
Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.

We are looking for a junior C # software Developer to join our dynamic and unique core technology ATE SW team. Our ATE (Automatic TEST Equipment) group is at the forefront of developing high-volume production line hardware-based testers for end-of-line product assembly. Our testers are developed in-house, encompassing hardware, mechanics, and software, ensuring top-notch quality and performance. This is an exciting opportunity to contribute to our productivity and innovation! **What You'll Do** Responsible for the entire development process, from gathering requirements to implementation, including post-release support. Develop, TEST, and maintain C #.NET applications using.NET framework,.NET Core and ASP.NET. Work closely with the Hardware team on joint projects. Develop software for automated hardware tests, drivers, and communication protocols. Use AI coding assistants (e.g. GitHub Copilot, Claude) as part of the day-to-day development workflow. Contribute to new projects and provide support for existing ones. Assist in resolving production issues and analyzing failures.


Country:
Israel

City:
Herzliya

The WSSI (Windows Silicon System Integration) team is looking for an experienced Silicon Design Verification Team Lead to lead verification for complex silicon subsystems that are part of advanced solutions delivered in Windows client products.

This is an opportunity for an excellent DV leader to combine people leadership with meaningful hands-on technical contribution. You will lead a silicon engineering team that includes design verification, silicon design, and physical design engineers, while serving as the technical anchor for the team's verification strategy, execution, and quality.

We are looking for a leader who is passionate about building excellent teams, driving rigorous execution, contributing hands-on to complex verification challenges, and continuously improving verification methodologies - including applying modern AI-assisted techniques to improve productivity, debug efficiency, and verification quality.


Responsibilities
Lead, grow, and mentor a silicon engineering team that includes design verification, silicon design, and physical design engineers, while fostering a culture of technical excellence, ownership, collaboration, and continuous learning.
Own and drive the verification strategy for complex silicon subsystems from planning through execution, closure, and emulation readiness.
Provide substantial hands-on technical contribution and leadership in verification planning, testbench architecture, debug, coverage analysis, regression quality, and verification closure.
Build and promote modern verification workflows, including AI-assisted techniques that improve verification environment development, automation, debug efficiency, coverage analysis, and execution quality.
Define verification plans, quality metrics, regression strategy, coverage goals, and emulation readiness plans aligned with project milestones.
Collaborate closely with architecture, design, system engineering, firmware, and physical design partners to identify risks early, resolve complex issues, and deliver high-quality silicon subsystems.

The WSSI (Windows Silicon System Integration) team is looking for a Senior Silicon Designer to help design complex silicon subsystems that are part of advanced solutions delivered in Windows client products.
This is an opportunity for an excellent silicon engineer to take meaningful technical ownership in a dynamic, agile, and highly collaborative environment. You will work on advanced subsystem design spanning microarchitecture, RTL implementation, integration, and design quality, with close collaboration across architecture, verification, firmware, system engineering, and physical design teams.
The role focuses on complex security-oriented silicon subsystems. We are looking for someone who combines strong design fundamentals with curiosity, ownership, and the motivation to learn and apply modern techniques - including AI-assisted workflows - to improve silicon development productivity and quality.


Responsibilities
Own and drive microarchitecture and RTL design for complex silicon blocks and subsystems, translating architecture and system requirements into clean, efficient, and high-quality hardware implementations.
Collaborate closely with verification, firmware, system engineering, architecture, and physical design partners to define interfaces, debug complex issues, manage technical risks, and deliver robust silicon solutions.
Contribute to subsystem integration, design reviews, quality checks, synthesis readiness, timing considerations, and design handoff flows.
Explore and apply modern silicon development workflows, including AI-assisted techniques for design productivity, debug, documentation, and quality improvements.
Act as a technical leader within the team by mentoring others, raising the engineering bar, and helping drive execution in a fast-moving environment.